Excel Data Analysis: Modeling and Simulation

✍ Scribed by Hector Guerrero

Publisher: Springer
Year: 2019
Tongue: English
Leaves: 365
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.

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Excel data analysis: Modeling and simula

📁 Excel data analysis: Modeling and simulation

✍ Hector Guerrero (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>This book is written for the students and practitioners who are looking for a single introductory Excel-based resource that covers three essential business and analytical skills—Data Analysis, Business Modeling, and Simulation of Complex Problems. The focus of the book is clearly on analysis of p